In this episode of The Data Engineering Show, the bros, Eldad and Benjamin are joined by Ryanne Dolan from LinkedIn to discuss the innovative Hoptimator (H2) project. This conversation reveals how LinkedIn has improved its data pipelines by automating the setup and management of complex workflows.


Together they cover:

• Automated Data Pipelines: Ryanne explains how Hoptimator allows users to create and manage data pipelines using just a simple SQL SELECT query, streamlining the process of setting up Kafka topics, Flink jobs, and schemas.
• Integration with Kubernetes: The project utilizes Kubernetes to handle infrastructure tasks, treating Kubernetes as a database for managing state. This integration simplifies the orchestration of data workflows and automates routine tasks.
• Consumer-Driven Model: Ryanne discusses the shift from a producer-driven to a consumer-driven data model, emphasizing the importance of understanding and addressing consumer needs to reduce engineering complexity and optimize data systems.
• Future of Data Engineering: The conversation touches on the ongoing experimental nature of Hoptimator and its potential to transform data engineering practices, highlighting its impact on LinkedIn's data infrastructure.

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Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.

Check out our three most downloaded episodes:

• Zach Wilson on What Makes a Great Data Engineer
• Joe Reis and Matt Housley on The Fundamentals of Data Engineering
• Bill Inmon, The Godfather of Data Warehousing